# Natural Language Toolkit: Tokenizer Interface # # Copyright (C) 2001-2023 NLTK Project # Author: Edward Loper # Steven Bird # URL: # For license information, see LICENSE.TXT """ Tokenizer Interface """ from abc import ABC, abstractmethod from typing import Iterator, List, Tuple from nltk.internals import overridden from nltk.tokenize.util import string_span_tokenize class TokenizerI(ABC): """ A processing interface for tokenizing a string. Subclasses must define ``tokenize()`` or ``tokenize_sents()`` (or both). """ @abstractmethod def tokenize(self, s: str) -> List[str]: """ Return a tokenized copy of *s*. :rtype: List[str] """ if overridden(self.tokenize_sents): return self.tokenize_sents([s])[0] def span_tokenize(self, s: str) -> Iterator[Tuple[int, int]]: """ Identify the tokens using integer offsets ``(start_i, end_i)``, where ``s[start_i:end_i]`` is the corresponding token. :rtype: Iterator[Tuple[int, int]] """ raise NotImplementedError() def tokenize_sents(self, strings: List[str]) -> List[List[str]]: """ Apply ``self.tokenize()`` to each element of ``strings``. I.e.: return [self.tokenize(s) for s in strings] :rtype: List[List[str]] """ return [self.tokenize(s) for s in strings] def span_tokenize_sents( self, strings: List[str] ) -> Iterator[List[Tuple[int, int]]]: """ Apply ``self.span_tokenize()`` to each element of ``strings``. I.e.: return [self.span_tokenize(s) for s in strings] :yield: List[Tuple[int, int]] """ for s in strings: yield list(self.span_tokenize(s)) class StringTokenizer(TokenizerI): """A tokenizer that divides a string into substrings by splitting on the specified string (defined in subclasses). """ @property @abstractmethod def _string(self): raise NotImplementedError def tokenize(self, s): return s.split(self._string) def span_tokenize(self, s): yield from string_span_tokenize(s, self._string)